Insignal
Indie HackersUnderstand your users better
At Insignal our aim is to help you understand what your users really want in a fast and visual way.
Share cardActual performance
3followers
$3,000MRR/mo
Made the leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: user, visual · Missing: mac, agents, macos67%67% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released61%61% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting58%58% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: users, way · Missing: mobile apps, ios, personal54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
AIMirror55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Understand your users in real time.
Indie Hackers1aiUn
Understand Your Traffic Anomalies Better With Chartelligence46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Understand Your Traffic Anomalies Better With Chartelligence
Hacker News1VU
VUE – Understand and Engage Your App's Users42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
VUE – Understand and Engage Your App's Users
Hacker News4Ca
Can I Kick It? Understand Scooter Economics46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Can I Kick It? Understand Scooter Economics
Hacker News2To
To understand recursion, you must understand recursion46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
To understand recursion, you must understand recursion
Hacker News1On
Onboard your users through fancy introductions51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Onboard your users through fancy introductions
Hacker News1Q&
Q&A for HN users55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Q&A for HN users
Hacker News142Pr
Pretender - See what your users see50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Pretender - See what your users see
Hacker News18Ac
AccessMap – illustrate obstacles for wheelchair users in Seattle50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AccessMap – illustrate obstacles for wheelchair users in Seattle
Hacker News3Un
Unifying Identities of Users50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Unifying Identities of Users
Hacker News3